Acer Aspire A515-57G
Geekbench AI Score
2006
Single Precision Score
688
Half Precision Score
3719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A515-57G |
| Motherboard | ADL Ganymede_ADU |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1897
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
99% |
3812
710.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
7629
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
86% |
3378
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
97% |
5847
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3429
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
8265
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5797
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3346
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
10143
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
97% |
1210
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
65% |
1582
31.8 IPS |
